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  • 2023
  • Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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  • October 2019
  • Case

Feeling Machines: Emotion AI at Affectiva

By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
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  • 19 Nov 2015
  • Blog Post

What to Expect During Your Second Year at HBS

EC’s get to create our own mini-courses, so to speak, called independent projects. You can consult for specific companies or create your own curriculum with the supervision of a faculty advisor. I took on two independent projects in my... View Details
  • Web

Introduction - The Audience - The Human Factor – Baker Library | Bloomberg Center, Historical Collections

powerful industrial enterprise to which satisfied workers devoted themselves. Fortune magazine, for example—the quintessence of sophistication in graphic design and photojournalism—catered to the elite managerial class, portraying the interaction of worker and View Details
  • February 6, 2024
  • Article

Find the AI Approach That Fits the Problem You’re Trying to Solve

By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
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  • 2021
  • Chapter

Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success

By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
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  • Career Coach

Troy Peterson

an uncommon intention for a military veteran with a history degree: to jump into the tech world and work in product. After working through challenges getting & preparing for tech interviews, Troy joined a team at Facebook building industry-leading View Details
  • Web

Greg Lipstein Archives | Social Enterprise

Curriculum Social Enterprise Student Club Social Entrepreneurship Summer Fellows Technology for Good Transformative Impact Tri-Sector Impact 1 Results Machine Learning for Social Impact Greg Lipstein 21 Dec... View Details
  • March 2025
  • Supplement

Intuition Robotics: An AI Companion for Older Adults (B)

By: Amit Goldenberg, Elie Ofek and Orna Dan
Two years after Intuition Robotics opted to pursue a business-to-government contract with the New York State Office of the Aging, and put direct-to-consumer efforts on the back burner, it was at a crossroads. The partnership had been successful, and the company had... View Details
Keywords: Business Model; AI and Machine Learning; Resource Allocation; Business and Government Relations; Partners and Partnerships; Business Strategy; Health Industry; Technology Industry; New York (state, US); United States
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  • Profile

Pranav Kothari

Curiosity has always propelled Pranav Kothari. As a child in India, he was intrigued by his family's wholesale textile business. "I was always interested in how things work, how they're made, how machines produce," Pranav says.... View Details
  • May 2024
  • Supplement

HubSpot and Motion AI (B): Generative AI Opportunities

By: Jill Avery
The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details
Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States
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  • 17 Feb 2016
  • Research & Ideas

Man vs. Machine: Which Makes Better Hires?

complex job duties. When it comes to the kind of hiring decisions the researchers looked at in the study, however, it may be time to concede there are some things machines simply do better than humans. “It’s natural for people to think... View Details
Keywords: by Michael Blanding; Employment
  • 2025
  • Working Paper

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
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  • Web

Who We Are | Research Associates

ask—and answer—meaningful questions. Some of our researchers arrive at Harvard Business School (HBS) as seasoned professionals. Others are recent graduates. It could be your experience with statistical methods or machine View Details
  • 20 Mar 2017
  • Book

Why Companies Are Placing Users at the Core of Their Innovation Strategies

on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details
Keywords: by Dina Gerdeman
  • 02 Jan 2019
  • What Do You Think?

SUMMING UP: Do We Need an Artificial Intelligence Czar?

inputs to machine learning and the creation of artificial intelligence. Each of these related fields of activity and opportunity encompasses a wide swath of the economy. Together, they describe a sector that... View Details
Keywords: by James Heskett; Technology
  • March 2025 (Revised May 2025)
  • Case

Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders

By: Suraj Srinivasan
On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Business Startups; Competition; Technology Industry; United States
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  • 01 Jan 2005
  • News

Judith R. Haberkorn, 111th AMP, 1992

distinguished career of more than thirty years. That first position gave her a variety of experiences, from line operations to staff management, and soon she was one of the first college-educated women to enter the company's fast track to management. "I View Details
  • December 2024
  • Case

Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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  • 06 Dec 2021
  • News

Embracing Digital Transformation

Illustration by Stephanie Dalton Cowan Leaders today, in every sector and around the world, are grappling with the opportunities and challenges of digital innovation—from artificial intelligence to machine View Details